EconPapers    
Economics at your fingertips  
 

A COMPLEX NETWORKS PERSPECTIVE ON COLLABORATIVE SOFTWARE ENGINEERING

Marcelo Cataldo (), Ingo Scholtes () and Giuseppe Valetto ()
Additional contact information
Marcelo Cataldo: EMC Corporation, New York City, NY, USA
Ingo Scholtes: ETH Zurich, Chair of Systems Design, Weinbergstrasse 56/58, CH-8092 Zurich, Switzerland
Giuseppe Valetto: Fondazione Bruno Kessler, Via Sommarive, 18, Trento, Italy

Advances in Complex Systems (ACS), 2014, vol. 17, issue 07n08, 1-9

Abstract: Large collaborative software engineering projects are interesting examples for evolving complex systems. The complexity of these systems unfolds both in evolving software structures, as well as in the social dynamics and organization of development teams. Due to the adoption of Open Source practices and the increasing use of online support infrastructures, large-scale data sets covering both the social and technical dimension of collaborative software engineering processes are increasingly becoming available. In the analysis of these data, a growing number of studies employ anetwork perspective, using methods and abstractions from network science to generate insights about software engineering processes. Featuring a collection of inspiring works in this area, with this topical issue, we intend to give an overview of state-of-the-art research. We hope that this collection of articles will stimulate downstream applications of network-based data mining techniques in empirical software engineering.

Date: 2014
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525914300011
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:17:y:2014:i:07n08:n:s0219525914300011

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525914300011

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:acsxxx:v:17:y:2014:i:07n08:n:s0219525914300011